competing.risk {randomSurvivalForest} | R Documentation |
Plot the ensemble cumulative incidence function (CIF), ensemble subsurvival function, ensemble conditional survival function, and ensemble unconditional survival function from a RSF competing risk analysis.
competing.risk(x, plot = TRUE, ...)
x |
An object of class (rsf, grow) or (rsf,
predict) . |
plot |
Logical. If TRUE, proximity is plotted. |
... |
Further arguments passed to or from other methods. |
From top to bottom, left to right are plots of the: (a) ensemble CIF; (b) ensemble subsurvival function; (c) ensemble conditional survival functions; and (d) ensemble (unconditional) survival function. See Gray (1988) for motivation regarding the CIF and subsurvival functions.
For right-censored data only the survival function is plotted.
Invisibly, the ensemble CIF and ensemble subsurvival function for each event type.
Hemant Ishwaran hemant.ishwaran@gmail.com and Udaya B. Kogalur ubk2101@columbia.edu
R. J. Gray (1988). A class of k-sample tests for comparing the cumulative incidence of a competing risk, Ann. Statist., 16: 1141-1154.
H. Ishwaran, and Udaya B. Kogalur (2009). Competing risks: a forest approach. Cleveland Clinic Technical Report.
find.interaction
,
predict.rsf
,
rsf
,
wihs
.
## Not run: data(follic, package = "randomSurvivalForest") follic.out <- rsf(Surv(time, status) ~ ., follic, nsplit = 3, ntree = 100) competing.risk(follic.out) ## End(Not run)